Ze Wang

Affiliations:
  • Purdue University, West Lafayette, IN, USA


According to our database1, Ze Wang authored at least 32 papers between 2018 and 2025.

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Bibliography

2025
Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation.
CoRR, June, 2025

Unleashing Hour-Scale Video Training for Long Video-Language Understanding.
CoRR, June, 2025

MOVi: Training-free Text-conditioned Multi-Object Video Generation.
CoRR, May, 2025

KeyVID: Keyframe-Aware Video Diffusion for Audio-Synchronized Visual Animation.
CoRR, April, 2025

Masked Autoencoders Are Effective Tokenizers for Diffusion Models.
CoRR, February, 2025

Agent Laboratory: Using LLM Agents as Research Assistants.
CoRR, January, 2025

Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Self-Taught Agentic Long Context Understanding.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Conditional Text-to-Image Generation with Reference Guidance.
CoRR, 2024

Model-Agnostic Human Preference Inversion in Diffusion Models.
CoRR, 2024

Constructing Concept-Based Models to Mitigate Spurious Correlations with Minimal Human Effort.
Proceedings of the Computer Vision - ECCV 2024, 2024

Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Meta-OLE: Meta-learned Orthogonal Low-Rank Embedding.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Energy-Inspired Self-Supervised Pretraining for Vision Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Binary Latent Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Continual Learning with Filter Atom Swapping.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Learning to Learn Dense Gaussian Processes for Few-Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Image Generation using Continuous Filter Atoms.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Cirrus: A Long-range Bi-pattern LiDAR Dataset.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Adaptive Convolutions with Per-pixel Dynamic Filter Atom.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Using Text To Teach Image Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
The Structure Transfer Machine Theory and Applications.
IEEE Trans. Image Process., 2020

ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution.
CoRR, 2020

A Dictionary Approach to Domain-Invariant Learning in Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Stochastic Conditional Generative Networks with Basis Decomposition.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Domain-invariant Learning using Adaptive Filter Decomposition.
CoRR, 2019

Range Adaptation for 3D Object Detection in LiDAR.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
LaneNet: Real-Time Lane Detection Networks for Autonomous Driving.
CoRR, 2018

The Structure Transfer Machine Theory and Applications.
CoRR, 2018

In Defense of Single-column Networks for Crowd Counting.
Proceedings of the British Machine Vision Conference 2018, 2018


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